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Structure in Complex Networks
In the modern world of gigantic datasets, which scientists and practioners of all fields of learning are confronted with, the availability of robust, scalable and easy-to-use methods for pattern recognition and data mining are of paramount importance, so as to be able to cope with the avalanche of d...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Lecture Notes in Physics,
766 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- to Complex Networks
- Standard Approaches to Network Structure: Block Modeling
- A First Principles Approach to Block Structure Detection
- Diagonal Block Models as Cohesive Groups
- Modularity of Dense Random Graphs
- Modularity of Sparse Random Graphs
- Applications
- Conclusion and Outlook.